Estimating wind turbine generators failures using machine learning

The objective of this thesis is to estimate failures of wind turbine generators, using real data. It will seek to predict the failure and model it's reliability.In order to achieve this goal, machine learning algorithms, such as neural networks, support vector machines and decision trees will be used